Nuno Lau

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it
• Optimization & Training — 5 citations into it
• Reinforcement Learning — 5 citations into it

Whom Nuno Lau trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jan Peters
2. Gerhard Neumann
3. Nikolaus Hansen
4. Peter S. Dayan

Papers from Nuno Lau's perspective

Ordered by how strongly the researchers Nuno Lau trusts endorse each paper. Same corpus, a different order for every researcher.

1. Trust Region Policy Optimization (International Conference on Machine Learning)
2. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
3. Natural Gradient Works Efficiently in Learning
4. Relative Entropy Policy Search
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Learning Attractor Landscapes for Learning Motor Primitives
9. Reinforcement Learning: An Introduction
10. Gradient-based learning applied to document recognition

Their papers

• Deriving and improving CMA-ES with information geometric trust regions (2017) — 38 citations